0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
New Design of Efficient Reversible Quantum Saturation Adder
Authors :
Negin Mashayekhi
1
Mohammad Reza Reshadinezhad
2
Shekoofeh Moghimi
3
1- university of isfahan
2- university of isfahan
3- university of isfahan
Keywords :
Reversible Adder،Quantum Computing،Quantum Cost،Quantum Saturation Adder
Abstract :
Reversible logic is becoming increasingly important with the rise of technologies like quantum computing, as it retains information during computation and maintains a one-to-one correspondence between inputs and outputs. Quantum circuits are inherently reversible and the best computational model in quantum computing systems. Some quantum signal processing (DSP) applications like filters and image processing applications require the results of arithmetic operations to be saturated. Saturation occurs when adding two numbers with the same sign and this can be done through a quantum saturating adder. This paper proposed a reversible quantum saturating adder with efficient quantum criteria like quantum cost, number of ancilla, and number of garbage outputs. We firstly propose a reversible n-bit quantum saturation generator block which is applied to a quantum adder and construct a quantum saturating adder circuit. The proposed circuit is simulated using the Quirk online tool and the result confirms the accuracy of the design. This design achieves 6%, 22%, and 13% improvement in quantum cost, ancilla inputs, and garbage outputs, compared to its counterpart, respectively.
Papers List
List of archived papers
Decentralized Federated Learning in IoT Environments: A Hierarchical Approach
Majid Mohammadpour - Seyedakbar Mostafavi
Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad
A Cloud Broker with Gap Analysis Perspective for Scheduling Multi-Workflows Across On-Demand and Reserved Resources
Negin Shafinezhad - Hamidreza Abrishami - Saeid Abrishami
Zone-Based Federated Learning in Indoor Positioning
Omid Tasbaz - Vahideh Moghtadaiee - Bahar Farahani
MultiPath ViT OCR: A Lightweight Visual Transformer-based License Plate Optical Character Recognition
Alireza Azadbakht - Saeed Reza Kheradpisheh - Hadi Farahani
Maximum diffusion of news in social media with the approach of reducing the search space
Masoud Karian
Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)
Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade
Lempel-Ziv-based Hyper-Heuristic Solution for Longest Common Subsequence Problem
Mahdi Nasrollahi - Reza Shami Tanha - Mohsen Hooshmand
A Comprehensive Dataset of Real-scene Images for Text Detection and Recognition in Persian
Iman Souzanchi - Ramin Rahimi - Mohammad Ali Majidi Anvari - Atefeh Baniasadi - Ashkan Sadeghi - Mohammad Reza Mohammadi
Machine and Deep Learning Models for Prediction of Small Molecule–Biotech Drug Pair’s Interactions
Fatemeh Nasiri - Mohsen Hooshmand
more
Samin Hamayesh - Version 42.4.1